切换至 "中华医学电子期刊资源库"

中华肺部疾病杂志(电子版) ›› 2026, Vol. 19 ›› Issue (02) : 221 -226. doi: 10.3877/cma.j.issn.1674-6902.2026.02.006

论著

75例急性呼吸窘迫综合征的临床特征及预后分析
甘志新1, 胡雍军2, 杨倩1, 胡明冬3,()   
  1. 1830000 乌鲁木齐,新疆军区总医院心血管内科
    2844000 喀什,中国人民解放军第947医院心肾内科
    3400037 重庆,陆军(第三)军医大学第二附属医院老年与特勤医学科
  • 收稿日期:2025-11-11 出版日期:2026-04-25
  • 通信作者: 胡明冬
  • 基金资助:
    国家重点研发计划课题资助(2020YFC2008903)

Analysis of clinical characteristics and prognosis in 75 patients with acute respiratory distress syndrome

Zhixin Gan1, Yongjun Hu2, Qian Yang1, Mingdong Hu3,()   

  1. 1Department of Cardiology, General Hospital of Xinjiang Military Command, Urumqi 830000, China
    2Department of Cardiorenal Medicine, The 947th Hospital of the People′s Liberation Army, Kashgar 844000, China
    3Department of Geriatrics and Secret Service Medicine, Second Affiliated Hospital of Army Medical University, Chongqing 400037, China
  • Received:2025-11-11 Published:2026-04-25
  • Corresponding author: Mingdong Hu
引用本文:

甘志新, 胡雍军, 杨倩, 胡明冬. 75例急性呼吸窘迫综合征的临床特征及预后分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(02): 221-226.

Zhixin Gan, Yongjun Hu, Qian Yang, Mingdong Hu. Analysis of clinical characteristics and prognosis in 75 patients with acute respiratory distress syndrome[J/OL]. Chinese Journal of Lung Diseases(Electronic Edition), 2026, 19(02): 221-226.

目的

分析急性呼吸窘迫综合征(acute respiratory distress syndrome, ARDS)患者的临床特征及预后。

方法

回顾性收集2020年12月至2024年1月陆军(第三)军医大学第二附属医院收治的75例ARDS患者临床资料,根据生存情况分组,生存者41例为对照组,死亡者34例为观察组。比较两组基本信息、实验室指标、肺损伤预测评分(lung injury prediction score, LIPS)、急性生理学与慢性健康状况评分(acute physiology and chronic health evaluation Ⅱ,APACHE Ⅱ)。采用Logistic回归分析ARDS预后危险因素,通过受试者工作特征曲线(receiver operating characteristic, ROC)预测ARDS预后。

结果

75例ARDS患者中严重肺部感染46例(61.33%),重型急性胰腺炎19例(25.33%),脓毒症5例(6.67%),严重创伤5例(6.67%)。生存41例(54.67%),死亡34例(45.33%)。观察组年龄(63.06±13.52)岁、APACHE Ⅱ评分(14.82±5.83)分、LIPS评分(6.28±1.72)分、氧合指数(145.76±72.24)与对照组(54.20±13.59)岁、APACHE Ⅱ评分(7.22±3.24)分、LIPS评分(4.63±1.36)分、氧合指数(205.27±61.30)差异有统计学意义(P<0.05)。Logistic回归分析显示,年龄(OR: 1.080,95%CI:1.011~1.153)、LIPS评分(OR: 2.245,95%CI: 1.252~4.027)、APACHE Ⅱ评分(OR:1.263,95%CI:1.067~1.496)和氧合指数(OR:0.988,95%CI: 0.977~1.000)是ARDS预后的危险因素。ROC曲线下面积(area under the curve, AUC)显示,APACHE Ⅱ评分联合氧合指数AUC为0.888,约登指数为0.707,敏感性为0.853,特异性为0.854。

结论

APACHE Ⅱ评分联合氧合指数可预测ARDS患者预后,有助于早期识别高危患者,为针对性救治提供依据。

Objective

To analyze the clinical characteristics and prognosis of patients with acute respiratory distress syndrome (ARDS).

Methods

The clinical data of 75 patients with ARDS admitted to the Second Affiliated Hospital of Army Medical University from December 2020 to January 2024 were retrospectively collected. They were grouped according to prognosis. 41 cases survived as the control group and 34 cases died as the observation group. Compare the basic information, laboratory indicators, lung injury prediction score (LIPS) and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)of the two groups. Logistic regression was used to analyze the prognostic risk factors of ARDS, and the prognosis of ARDS was predicted by the receiver operating characteristic (ROC) curve.

Results

Among 75 patients with ARDS, severe pulmonary infection in 46 cases (61.33%), severe acute pancreatitis in 19 cases (25.33%), sepsis in 5 cases (6.67%), and severe trauma in 5 cases (6.67%). Forty-one cases (54.67%) survived and 34 cases (45.33%) died. The age of the observation group was (63.06±13.52) years old, and APACHE The Ⅱ score (14.82±5.83) points, LIPS score (6.28±1.72) points, and oxygenation index (145.76±72.24) were statistically different from those of the control group (54.20±13.59) years old, (7.22±3.24) points, (4.63±1.36)points, and (205.27±61.30) (P<,0.05). Logistic regression analysis showed that age (OR: 1.080, 95%CI: 1.011~1.153), LIPS score (OR: 2.245, 95%CI: 1.252~4.027), APACHE Ⅱ score (OR: 1.263, 95%CI: 1.067~1.496) and oxygenation index (OR: 0.988, 95%CI: 0.977~1.000) were risk factors for the prognosis of ARDS. the area under the ROC curve (AUC) showed that the AUC of the APACHE Ⅱ score combined with the oxygenation index was 0.888, the Youden index was 0.707, the sensitivity was 0.853, and the specificity was 0.854.

Conclusion

The APACHE Ⅱ score combined with the oxygenation index can predict the prognosis of ARDS patients, which is helpful for the early identification of high-risk patients and provides a basis for targeted intervention.

表1 两组ARDS患者临床特征(±s)
临床特征 观察组(n=34) 对照组(n=41) t/Z2 P
年龄(岁) 63.06±13.52 54.20±13.59 2.818 0.006
住院时间(d) 13.77±11.46 24.66±23.52 2.614 0.011
BMI(kg/m2) 24.21±3.64 24.76±4.16 0.480 0.633
体表面积(m2) 1.6±0.19 1.71±0.21 1.981 0.053
LIPS(分) 6.28±1.72 4.63±1.36 4.620 0.000
APACHEⅡ(分) 14.82±5.83 7.22±3.24 6.786 0.000
氧合指数(mmHg) 145.76±72.24 205.27±61.3 3.86 0.000
机械通气时间(d) 11.15±8.76 7.83±8.80 1.629 0.108
WBC(109/L) 12.13±6.92 10.87±6.12 0.836 0.406
总蛋白(g/L) 57.95±10.2 59.9±12.32 0.735 0.465
白蛋白(g/L) 31.57±5.51 32.17±4.9 0.504 0.616
CRP(mg/L) 120.47±75.56 128.18±102.53 0.364 0.717
PCT(ng/ml) 11.65±26.54 6.04±13.63 1.115 0.270
总胆红素(μmol/L) 19.85±24.83 27.17±37.27 0.979 0.331
直接胆红素(μmol/L) 7.42±9.33 12.20±23.36 1.121 0.266
CK(U/L) 121.42±233.58 224.02±258.53 1.641 0.106
CKMB(U/L) 19.38±18.44 18.37±12.76 0.258 0.797
LDH(U/L) 527.78±302.89 688.59±863.06 0.938 0.352
肌酐(μmol/L) 101.09±76.79 101.76±112.18 0.029 0.977
ESR(mm 1 h) 48.51±32.69 46.98±33.85 0.174 0.862
尿素(mmol/L) 10.37±7.68 9.4±8.61 0.481 0.632
尿酸(μmol/L) 277.52±126.52 264.08±158.72 0.398 0.692
pH 7.40±0.75 7.40±0.90 0.146 0.885
GLU(mmol/L) 9.53±4.21 10.45±5.21 0.824 0.412
LAC(mmol/L) 1.84±1.50 1.73±1.01 0.382 0.703
BNP(pg/ml) 390.70±705.11 168.64±335.83 1.646 0.107
cTnI(ng/ml) 0.13±0.38 0.06±0.08 0.969 0.336
PT(s) 13.53±3.67 14.12±8.07 0.395 0.694
APTT(s) 34.4±10.57 30.68±5.05 1.886 0.066
TT(s) 16.15±3.84 14.58±3.07 1.970 0.053
D-D(mg/L) 4.88±6.28 3.14±5.12 1.319 0.191
图1 典型ARDS患者CT影像学图。图A为对照组患者,CT示双肺多发斑片状、结节状高密度影,沿支气管血管束分布,部分病灶融合,可见"树芽征";图B为对照组患者,CT示右肺下叶可见孤立性结节灶,边缘欠规整,双肺散在纤维条索影;图C为观察组患者,CT示双肺病变范围广泛,呈弥漫性磨玻璃影与实变影,部分区域呈"铺路石征";图D为观察组患者,CT示双肺广泛蜂窝状改变、网格影,以胸膜下区为主,提示肺间质纤维化
表2 二元Logistic回归分析ARDS预后危险因素
表3 ARDS预后的ROC曲线分析
1
Xie R, Tan D, Liu B, et al. Acute respiratory distress syndrome (ARDS): from mechanistic insights to therapeutic strategies[J]. MedComm, 2025, 6: e70074.
2
Meyer NJ, Gattinoni L, Calfee CS. Acute respiratory distress syndrome[J]. Lancet, 2021, 398: 622-637.
3
张鹏,史慢慢,马辉,等. 急性呼吸窘迫综合征患者机械通气动脉血二氧化碳分压变异率与预后风险相关性[J/CD]. 中华肺部疾病杂志(电子版), 2025, 18(2): 226-230.
4
Auriemma CL, Zhuo H, Delucchi K, et al. Acute respiratory distress syndrome-attributable mortality in critically ill patients with sepsis[J]. Intens Care Med, 2020, 46: 1222-1231.
5
Tetaj N, Piselli P, Zito S, et al. Timing and outcomes of noninvasive ventilation in 307 ARDS COVID-19 patients: an observational study in an italian third level COVID-19 hospital[J]. Medicina (Kaunas), 2022, 58: DOI: 10.3390/medicina58081104.
6
赵才林,向青,钱航,等. 基于生物信息学解析急性肺损伤/急性呼吸窘迫综合征铁死亡枢纽基因及其与免疫分型的关系[J/CD]. 中华肺部疾病杂志(电子版), 2025, 18(4): 503-509.
7
Moss M, Huang DT, Brower RG, et al. Early neuromuscular blockade in the acute respiratory distress syndrome[J]. New Engl J Med, 2019, 380: 1997-2008.
8
Hauschildt KE, Seigworth C, Kamphuis LA, et al. Patients′adaptations after acute respiratory distress syndrome: a qualitative study[J]. Am J Crit Care, 2021, 30: 221-229.
9
Herridge MS, Moss M, Hough CL, et al. Recovery and outcomes after the acute respiratory distress syndrome (ARDS) in patients and their family caregivers[J]. Intensive Care Med, 2016, 42: 725-738.
10
Mikkelsen ME, Christie JD, Lanken PN, et al. The adult respiratory distress syndrome cognitive outcomes study: long-term neuropsychological function in survivors of acute lung injury[J]. Am J Respir Crit Care Med, 2012, 185: 1307-1315.
11
Hopkins RO, Weaver LK, Collingridge D, et al. Two-year cognitive,emotional, and quality-of-life outcomes in acute respiratory distress syndrome[J]. Am J Respir Crit Care Med, 2005, 171: 340-347.
12
Kor DJ, Lingineni RK, Gajic O, et al. Predicting risk of postoperative lung injury in high-risk surgical patients: a multicenter cohort study[J]. Anesthesiology, 2014, 120: 1168-1181.
13
Ranieri VM, Rubenfeld GD, Thompson BT, et al. Acute respiratory distress syndrome: the Berlin Definition[J]. JAMA, 2012, 307: 2526-2533.
14
Banavasi H, Nguyen P, Osman H, et al. Management of ARDS-what works and what does not[J]. Am J Med Sci, 2021, 362: 13-23.
15
Ge R, Wang F, Peng Z. Advances in biomarkers for diagnosis and treatment of ARDS[J]. Diagnostics (Basel), 2023, 13: 3296.
16
Aboab J, Louis B, Jonson B, et al. Relation between PaO2/FiO2 ratio and FiO2: a mathematical description[J]. Intens Care Med, 2006, 32: 1494-1497.
17
Fremont RD, Koyama T, Calfee CS, et al. Acute lung injury in patients with traumatic injuries: Utility of a panel of biomarkers for diagnosis and pathogenesis[J]. J Trauma, 2010, 68: 1121-1127.
18
Ware LB, Koyama T, Zhao Z, et al. Biomarkers of lung epithelial injury and inflammation distinguish severe sepsis patients with acute respiratory distress syndrome[J]. Crit Care, 2013, 17: R253.
19
Ware LB, Zhao Z, Koyama T, et al. Derivation and validation of a two-biomarker panel for diagnosis of ARDS in patients with severe traumatic injuries[J]. Trauma Surg Acute Care Open, 2017, 2: e121.
20
Cardoso LG, Chiavone PA. The APACHE Ⅱ measured on patients′ discharge from the Intensive Care Unit in the prediction of mortality[J]. Rev Lat Am Enfermagem, 2013, 21: 811-819.
21
Trillo-Alvarez C, Cartin-Ceba R, Kor DJ, et al. Acute lung injury prediction score: derivation and validation in a population-based sample[J]. Eur Respir J, 2011, 37: 604-609.
22
Gajic O, Dabbagh O, Park PK, et al. Early identification of patients at risk of acute lung injury: evaluation of lung injury prediction score in a multicenter cohort study[J]. Am J Respir Crit Care Med, 2011, 183: 462-470.
23
Xu Z, Wu GM, Li Q, et al. Predictive value of combined LIPS and ANG-2 level in critically Ⅲ patients with ARDS risk factors[J]. Mediators Inflamm, 2018, 2018: 1739615.
24
Kim BK, Kim S, Kim CY, et al. Predictive role of lung injury prediction score in the development of acute respiratory distress syndrome in Korea[J]. Yonsei Med J, 2021, 62: 417-423.
25
Soto GJ, Kor DJ, Park PK, et al. Lung injury prediction score in hospitalized patients at risk of acute respiratory distress syndrome[J]. Crit Care Med, 2016, 44: 2182-2191.
26
Tekin A, Qamar S, Sharma M, et al. Development and validation of an acute respiratory distress syndrome prediction model in coronavirus disease 2019: Updated lung injury prediction score[J]. Mayo Clin Proc, 2023, 98: 736-747.
27
Cirik MO, Yenibertiz D. What are the prognostic factors affecting 30-day mortality in geriatric patients with respiratory failure in the Intensive Care Unit?[J]. Pak J Med Sci, 2021, 37: 15-20.
28
Lu W, Zhang J, Qiu Y, et al. Correlations between APACHE Ⅱ score and pressure parameters of mechanical ventilation in patients with ARDS and their value in prognostic evaluation[J]. Pak J Med Sci, 2023, 39: 1584-1588.
29
Singh G, Gladdy G, Chandy TT, et al. Incidence and outcome of acute lung injury and acute respiratory distress syndrome in the surgical intensive care unit[J]. Indian J Crit Care Med, 2014, 18: 659-665.
30
Behnoush AH, Khalaji A, Ghasemi H, et al. Endocan as a biomarker for acute respiratory distress syndrome: A systematic review and meta-analysis[J]. Health Sci Rep, 2024, 7: e70044.
31
van der Zee P, Rietdijk W, Somhorst P, et al. A systematic review of biomarkers multivariately associated with acute respiratory distress syndrome development and mortality[J]. Critical care (London, England), 2020, 24: 243.
32
Villar J, Herran-Monge R, Gonzalez-Higueras E, et al. Clinical and biological markers for predicting ARDS and outcome in septic patients[J]. Sci Rep, 2021, 11: 22702.
[1] 冯学乾, 王千丹, 张旭. 乳腺叶状肿瘤的诊疗进展与全程管理策略[J/OL]. 中华乳腺病杂志(电子版), 2026, 20(02): 115-119.
[2] 董晓培, 袁洋, 李健斌, 宋华, 李凡, 郝艺, 边莉, 王涛, 江泽飞, 张少华. 激素受体阳性、HER-2阴性乳腺癌首发单纯骨转移患者不同一线治疗方式的预后分析[J/OL]. 中华乳腺病杂志(电子版), 2026, 20(01): 25-33.
[3] 邵长华, 刘艳芳, 李恒宇. 产后乳腺癌的临床特征和干预策略[J/OL]. 中华乳腺病杂志(电子版), 2026, 20(01): 44-48.
[4] 栗家兴, 程紫轩, 吕欣悦, 王江芬, 张晶晶, 张亚芬. 肿瘤浸润淋巴细胞在乳腺癌免疫治疗中的作用及其预后预测价值[J/OL]. 中华乳腺病杂志(电子版), 2026, 20(01): 49-54.
[5] 曹喆, 翁桂湖, 刘涛, 张锰钢, 杨刚, 陈浩, 邱江东, 徐建威, 张太平. 新型预后营养炎症评分系统建立以有效预测胰腺癌根治术后患者的长期预后[J/OL]. 中华普通外科学文献(电子版), 2026, 20(02): 85-90.
[6] 邓励旺, 黄予希, 刘施沂, 李彬. 肝内胆管癌中三级淋巴结构及其他病理特征对预后的影响[J/OL]. 中华普通外科学文献(电子版), 2026, 20(02): 91-97.
[7] 樊伟伟, 许怀利, 杨喜佳. 中间入路与左侧前入路在中老年进展期胃癌腹腔镜根治术中的应用对比[J/OL]. 中华普外科手术学杂志(电子版), 2026, 20(02): 117-120.
[8] 许舜, 汪瀚, 胡涛, 钱梦佳, 崔一尧, 陈信浩. 两种术式治疗胆总管中下段结石合并急性胆管炎患者疗效及预后比较[J/OL]. 中华普外科手术学杂志(电子版), 2026, 20(01): 38-41.
[9] 邓玉飞, 王志鑫, 娄珂, 张林轩, 马桂春, 港措. 影像组学在肝癌精准诊断、疗效评估及治疗方案决策优化中应用[J/OL]. 中华肝脏外科手术学电子杂志, 2026, 15(02): 172-180.
[10] 吴杰嵘, 严庆, 胡健垣, 陈焕伟. 复发性肝细胞癌再次手术切除与射频消融临床疗效比较[J/OL]. 中华肝脏外科手术学电子杂志, 2026, 15(02): 211-218.
[11] 张雨霄, 潘怡, 邱田, 邹霜梅. 行二代测序结直肠癌患者cMET的表达水平与临床病理特征和分子特征的相关性及预后价值的研究[J/OL]. 中华结直肠疾病电子杂志, 2026, 15(02): 122-132.
[12] 温钰, 张尊庶, 丁泽浩, 郑仁杰, 武宾, 孙海翔, 韩超, 黄陈. 基于淋巴结转移的结直肠癌新分期与预后关系[J/OL]. 中华结直肠疾病电子杂志, 2026, 15(02): 133-145.
[13] 王欢, 王伟彪, 李多, 于永强, 武雪亮, 樊建春. 基于溶酶体相关基因构建结直肠癌预后模型的研究[J/OL]. 中华结直肠疾病电子杂志, 2026, 15(02): 146-159.
[14] 单子恒, 王帆, 马丽, 张涛, 邵丽. 头颈部CT血管成像联合头颅CT灌注成像评估急性缺血性脑卒中患者短期预后的效能[J/OL]. 中华脑血管病杂志(电子版), 2026, 20(02): 164-169.
[15] 李丽娜, 彭滢, 巩俪, 郑志东. 血清脂蛋白(a)、载脂蛋白B/载脂蛋白A1比值与急性脑梗死阿替普酶静脉溶栓治疗预后的关系[J/OL]. 中华脑血管病杂志(电子版), 2026, 20(02): 178-184.
阅读次数
全文


摘要


AI


AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?